Evidence map›Paper›PMID 25167900›Full record

ArticleWorld journal of surgery2015

Using a hybrid electronic medical record system for the surveillance of adverse surgical events and human error in a developing world surgical service.

Grant Laing, John Bruce, David Skinner, Nikki Allorto, Colleen Aldous, Sandie Thomson, Damian Clarke

Abstract read
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In one paragraph

Article in World journal of surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  3. Hybrid electronic record: An error reduction strategy for diverse medical prescription formats.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Grant LaingSurgery, UKZN, Durban, South Africa, grantlaing@me.com.
John Bruce
David Skinner
Nikki Allorto
Colleen Aldous
Sandie Thomson
Damian Clarke
Grey's Hospital · ZAKing Edward VIII Hospital · ZAProduction Management Institute of Southern Africa · ZAUniversity of Cape Town · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe quantification and analysis of adverse events is essential to benchmark surgical outcomes and establish a foundation for quality improvement interventions. We developed a hybrid electronic medical record (HEMR) system for the accurate collection and integration of data into a structured morbidity and mortality (M&M) meeting. METHODOLOGY: The HEMR system was implemented on January 1, 2013. It included a mechanism to capture and classify adverse events using the ICD-10 coding system. This was achieved by both prospective reporting by clients and by retrospective sentinel-event-trawling performed by administrators.

resultsFrom January 1, 2013 to March 20, 2014, 6,217 patients were admitted within the tertiary surgical service of Greys Hospital. A total of 1,314 (21.1 %) adverse events and 315 (5.1 %) deaths were recorded. The adverse events were divided into 875 "pathology-related" morbidities and 439 "error-related" morbidities. Pathology-related morbidities included 725 systemic complications and 150 operative complications. Error-related morbidities included 257 cognitive errors, 158 (2.5 %) iatrogenic injuries, and 24 (1.3 %) missed injuries. Error accounted for 439 (33 %) of the total number of adverse events. A total of 938 (71.4 %) adverse events were captured prospectively, whereas the remaining 376 (28.6 %) were captured retrospectively. The ICD-10 coding system was found to have some limitations in its classification of adverse events.

conclusionsThe HEMR system has provided the necessary platform within our service to benchmark the incidence of adverse events. The use of the international ICD-10 coding system has identified some limitations in its ability to classify and categorise adverse events in surgery.

Indexed as

Developing CountriesComputer SystemsElectronic Health RecordsHumansIncidenceMedical ErrorsProspective StudiesRetrospective StudiesSouth AfricaSurgical Procedures, Operative

Identifiers

PMID25167900
OpenAlexW2118753799

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.